Smart Crowding predictions – finalization (SkatteFUNN 2023)

Offentlig prosjektsammendrag

Over-crowding and inundation are major problems and risk factors in healthcare institutions; increasing waiting times and length of stay, leading to corridor patients and high use of temporary staffing solutions. In addition, while local hospitals can be stretched to the maximum, nearby facilities are left with unused capacity. Poor preparedness and oversights add to the problems; resources are not pooled, systems and people are not aligned, real-time data is not available, and bottlenecks in patient flow are rife across primary, secondary and tertiary care settings. Predictive functionality is launched to expand an already disruptive value proposition with high-value-adding functionality, extending the window of opportunity where Smart Crowding is ahead of the competition, both in terms of the overall approach and technical solution. The proposed SkatteFUNN project builds on an award from 2021-2022. The remaining scope focuses on overcoming challenges related to establishing robust processes for data collection and integration - affecting also the development, testing and implementation of new predictive functionality based on AI/ML. The project will thus finalize a prototype software module to be used in future pilots, allowing for robust predictions based on new data sources. Weather events are particularly important, as adverse conditions such as gales or slippery ice may increase emergency room visits. Connecting predictive engines to the platform will enhance the ability to look forward days and even weeks into the future. The functionality will allow hospital staff to better prepare for what is to come and accelerate the flow of patients as they arrive.